diff --git a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
index 88ab706b..fba30f1f 100644
--- a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
+++ b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
@@ -280,6 +280,12 @@ class DataLoader:
             asset_list["matching_postcode"] = asset_list['matching_address'].apply(
                 lambda x: ' '.join(x.split()[-2:]) if pd.notnull(x) else x
             )
+        elif ha_name == "HA27":
+            asset_list["matching_address"] = (
+                asset_list[" Address"].astype(str).str.lower().str.strip() + ", " +
+                asset_list[" Postcode"].astype(str).str.lower().str.strip()
+            )
+            asset_list["matching_postcode"] = asset_list[" Postcode"].astype(str).str.lower().str.strip()
         elif ha_name == "HA28":
             asset_list["matching_address"] = (
                 asset_list["House Number"].astype(str).str.lower().str.strip() + ", " +
@@ -582,7 +588,7 @@ class DataLoader:
         # For HA1 and HA25, there is an exception in the structure of the data. We don't have any survey or ciga
         # lists, and so
         # we can return the asset list now
-        if ha_name in ["HA1"]:
+        if ha_name in ["HA1", "HA27"]:
             return asset_list, pd.DataFrame(), pd.DataFrame(), pd.DataFrame()
 
         # If we have ECO3 surveys, we need to match them, because any properties treated under ECO3 won't be
@@ -4966,13 +4972,13 @@ def app():
     # Add in:
     priority_has = [
         "HA1", "HA2", "HA6", "HA7", "HA9", "HA12", "HA13", "HA14", "HA15", "HA16", "HA18",
-        "HA19", "HA24", "HA25", "HA28", "HA32",
+        "HA19", "HA24", "HA25", "HA27", "HA28", "HA32",
         # "HA34",
         "HA35", "HA39", "HA41", "HA48", "HA50", "HA56", "HA63", "HA107", "HA117"
     ]
     # Next HAs to do: 14 [DONE], 15[DONE], 32 [DONE], 33 [Input format is 4 parts and no eco4 jobs identified - come
     # back on this], 28 [DONE], 41 [DONE], 50 [DONE], 48 [DONE], 2 [DONE], 63 [DONE], 12 [DONE], 117 [DONE], 13 [DONE],
-    # 35 [DONE], 56 [DONE], 19 [DONE]
+    # 35 [DONE], 56 [DONE], 19 [DONE], 18 [DONE], 9 [DONE], 27 DONE
     #
     # Consider for ECO4:
     # Consider for GBIS: